Web-based speech recognition platform (on cloud and local deployment)
MAGOR is a web application that provides audio and video transcription services. The MAGOR system comprises three services and relies on external dependencies like Azure Cloud Storage and a centralized Automatic Speech Recognition (ASR) gateway. This thesis focuses on documenting and conducting the...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/165918 |
_version_ | 1811690796675497984 |
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author | Yong, Christopher Wan Kang |
author2 | Chng Eng Siong |
author_facet | Chng Eng Siong Yong, Christopher Wan Kang |
author_sort | Yong, Christopher Wan Kang |
collection | NTU |
description | MAGOR is a web application that provides audio and video transcription services. The MAGOR system comprises three services and relies on external dependencies like Azure Cloud Storage and a centralized Automatic Speech Recognition (ASR) gateway. This thesis focuses on documenting and conducting the deployment process of MAGOR, followed by streamlining and improving it. To address the security concerns of clients, a version of MAGOR that removes Azure Cloud Storage dependencies has been developed. The project also includes implementing a CI/CD pipeline and various software tests to ensure system reliability. Finally, important maintenance tasks, such as bug fixes, are also covered in this project. |
first_indexed | 2024-10-01T06:09:42Z |
format | Final Year Project (FYP) |
id | ntu-10356/165918 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:09:42Z |
publishDate | 2023 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1659182023-04-21T15:36:55Z Web-based speech recognition platform (on cloud and local deployment) Yong, Christopher Wan Kang Chng Eng Siong School of Computer Science and Engineering ASESChng@ntu.edu.sg Engineering::Computer science and engineering MAGOR is a web application that provides audio and video transcription services. The MAGOR system comprises three services and relies on external dependencies like Azure Cloud Storage and a centralized Automatic Speech Recognition (ASR) gateway. This thesis focuses on documenting and conducting the deployment process of MAGOR, followed by streamlining and improving it. To address the security concerns of clients, a version of MAGOR that removes Azure Cloud Storage dependencies has been developed. The project also includes implementing a CI/CD pipeline and various software tests to ensure system reliability. Finally, important maintenance tasks, such as bug fixes, are also covered in this project. Bachelor of Engineering (Computer Science) 2023-04-17T00:02:51Z 2023-04-17T00:02:51Z 2023 Final Year Project (FYP) Yong, C. W. K. (2023). Web-based speech recognition platform (on cloud and local deployment). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165918 https://hdl.handle.net/10356/165918 en SCSE22-0087 application/pdf Nanyang Technological University |
spellingShingle | Engineering::Computer science and engineering Yong, Christopher Wan Kang Web-based speech recognition platform (on cloud and local deployment) |
title | Web-based speech recognition platform (on cloud and local deployment) |
title_full | Web-based speech recognition platform (on cloud and local deployment) |
title_fullStr | Web-based speech recognition platform (on cloud and local deployment) |
title_full_unstemmed | Web-based speech recognition platform (on cloud and local deployment) |
title_short | Web-based speech recognition platform (on cloud and local deployment) |
title_sort | web based speech recognition platform on cloud and local deployment |
topic | Engineering::Computer science and engineering |
url | https://hdl.handle.net/10356/165918 |
work_keys_str_mv | AT yongchristopherwankang webbasedspeechrecognitionplatformoncloudandlocaldeployment |